IISWC 2012

Final Submission Deadline
June 1, 2012

Submitted by Thomas Wenisch
2012 Annual IEEE International Symposium on Workload Characterization
(IISWC 2012)
Nov. 4-6, 2012 – La Jolla, CA

Abstracts Due: May 25, 2012, 11:59pm PDT.
Paper Submission: June 1, 2012. 11:59pm PDT.

This symposium is dedicated to the understanding and characterization of
workloads that run on all types of computing systems. New applications and
programming paradigms continue to emerge as the diversity and performance of
computers increase. On the one hand, computing workloads evolve and change
with advances in microarchitecture, compilers, programming languages, and
networking/communication technologies. On the other hand, improvements in
computing technology are usually based on a solid understanding and analysis
of existing workloads. Whether they are PDAs, wireless and embedded systems
at the low end or massively parallel systems at the high end, the design of
future computing machines can be significantly improved if we understand the
characteristics of the workloads that are expected to run on them. This
symposium, sponsored by IEEE Computer Society and the Technical Committee
on Computer Architecture, will focus on characterizing and understanding
modern computer applications, commercial and scientific computing.

We solicit papers in all areas related to characterization of computing system
workloads. Topics of interest include (but are not limited to):

• Characterization of applications in areas including
o Search engines, e-commerce, web services, databases, file/appl. servers
o Embedded, mobile, multimedia, real-time, graphics, gaming, telepresence
o Life sciences, bioinformatics, scientific computing, finance, forecasting
o Security, reliability, biometrics
o Grid and Could computing
• Characterization of OS, Virtual Machine, middleware and library behavior
o Virtual machines, Websphere, .NET, Java VM, databases
o Graphics libraries, scientific libraries
• Characterization of system behavior, including
o Operating system and hypervisor effects and overheads
o Effects due to virtualization and dynamic optimization
o Hardware accelerators (GPGPU, XML, crypto, etc)
o Failures, availability, and reliability
o User behavior and system-user interaction
o Instrumentation methodologies for workload verification & characterization
o Techniques for accurate analysis/measurement of production systems
• Implications of workloads in design issues, such as
o Power management, reliability, security, performance
o Processors, memory hierarchy, I/O, and networks
o Design of accelerators, FPGA’s, GPU’s, etc.
• Benchmark creation, analysis, and evaluation issues, including
o Multithreaded benchmarks, benchmark cloning
o Profiling, trace collection, synthetic traces o Validation of benchmarks
• Analytical and abstract modeling of program behavior and systems
• Emerging and future workloads
o Transactional memory workloads; workloads for multi/many-core systems
o Stream-based computing workloads; web2.0/internet workloads

General Chair: Allan Snavely, UCSD
Program Chair: Thomas Wenisch, U. Michigan

Program Committee
Tor Aamodt, UBC
Murali Annavaram, USC
James Balfour, NVIDIA
Leslie Barnes, AMD
Sangyeun Cho, U. Pittsburgh
Reetu Das, U. Michigan
Stijn Eyerman, Ghent
Babak Falsafi, EPFL
Boris Grot, EPFL
Nikos Hardavellas, Northwestern U.
Engin Ipek, U. Rochester
Ravi Iyer, Intel
Jangwoo Kim, POSTECH
Hsien-Hsin Lee, Georgia Tech
Kevin Lim, HP Labs
Vijay Reddi, UT-Austin
Ali Saidi, ARM
Jennifer Sartor, U. Ghent
Martin Schulz, LLNL
Ravi Soundararajan, VMWare
Viji Srinivasan, IBM
Kushagra Vaid, Microsoft
Philip Wells, Google